Data Science Architect

Job Description

• Working directly with the Head of Data Practice, lead all the data related initiatives and projects for the organization.
• Conceive, plan, and prioritize data projects that are aligned to business requirements.
• Demonstrate direct and indirect business benefits of all the data projects and seek regular feedback and inputs from the business stakeholders and senior management.
• Working through the complete life cycle of data projects:
• Brainstorming with the business stakeholders to define the problem statement, goals, and objectives.
• Model Building Activities:

oData profiling

oPre-processing

oCreating the base / initial model

oTraining the model

oBaselining and productionizing the model.

oSeek feedback from business and incorporate required improvements / changes in the model.

• Work closely with the data engineers and application developers to ensure data cleanliness, data integrity, and comprehensiveness of data from various sources.
• Experiment with new models and techniques and cross validate models to ensure generalizability to the larger user base.
• Work with structured and unstructured data and perform data mining to come up with new insights and opportunities to help business in their strategic decisions.
• Responsible for, mentoring and guiding the team of Data scientists, Data Engineers and BI developers.

Role Requirements:

• 10 to 12 years of strong experience as a Senior or Lead Data Scientist with an aspiration to grow and excel.
• Experience working in the financial domain, especially retail lending in Indian market would be required.
• Competent in artificial intelligence / machine learning principles and techniques.
• Flair for statistical analysis and strong understanding of predictive and prescriptive modelling

• Good knowledge of R, Python, and other relevant technologies
• Master's degree in computer science, Data Science, Mathematics, or similar field
• Ability to relay insights in layman's terms to the business and senior leadership teams, that can be used to make informed business decisions.
• Excellent communication and analytical skills
• Strong interpersonal and leadership skill